Backend Software Engineer - AI Agent Systems

Join Our Innovative Team as a Senior AI Engineer (Agentic Systems)At StarCompliance, we are at the forefront of creating software solutions that address critical compliance needs for our global clientele. As we integrate AI as a fundamental capability throughout our software development lifecycle, we invite you to be part of this transformative journey.We are looking for a Senior AI Engineer to spearhead the practical implementation and expansion of AI-assisted and agentic engineering within our teams. This is a hands-on role where you will engage directly with real codebases, leveraging cutting-edge AI-native development environments (Cursor preferred) to revolutionize the software development process.Your mission will be to evolve AI from a mere tool into a fully embedded system that is repeatable and scalable. You will craft and execute playbooks, establish workflows, and define patterns that allow our teams to harness the power of parallel AI agents, facilitate autonomous code reviews, and create AI-driven delivery pipelines. Additionally, you will play a pivotal role in launching new initiatives, ensuring they are built on the right architecture and AI-enabled engineering practices from the outset.This position is part of our R&D Engineering team and collaborates closely with Platform, QA, and Product Engineering. Here, influence is gained through tangible delivery rather than hierarchy.Our Vision of AIWe view AI not just as an assistant, but as an integral component of our engineering ecosystem. We expect engineers in this role to embrace this perspective and drive our AI initiatives forward.

Role overview ServiceNow is seeking a Senior AI Agent Engineer to join the Customer Deployment team in London. The position centers on building and deploying advanced AI agent solutions that support clients in meeting their objectives. Deep experience in artificial intelligence and engineering is essential, especially in the context of customer deployment strategies. What you will do Design, develop, and maintain AI agent systems tailored to customer requirements Collaborate with cross-functional teams to ensure effective implementation of AI solutions Refine and enhance AI capabilities to improve user experience and drive customer satisfaction Collaboration and impact This position sits at the intersection of engineering and customer success. The Senior AI Agent Engineer will work with teams across ServiceNow, helping deliver reliable and effective AI deployments that create tangible value for clients.

About the Role vega is looking for an AI/Agent Engineer in London. This position focuses on designing and building intelligent agents that address complex challenges. Work will directly support the advancement of AI solutions across the company.

Join Our Team as a Senior Data Scientist - Conversational & Agentic AILocation: London (Hybrid)About SwapAt Swap, we are at the forefront of revolutionizing agentic commerce with our innovative AI-native platform. We connect backend operations seamlessly with a modern storefront experience.Our platform is tailored for brands eager to expand their reach, enabling them to sell anything, anywhere. Swap consolidates global operations, enhances intelligent workflows, and empowers businesses to make informed decisions with real-time data. Our extensive product range includes solutions for cross-border transactions, tax management, returns, demand planning, and next-generation agentic storefronts, providing merchants with full transparency and confidence in their operations.We foster a company culture that values clarity, creativity, and shared ownership as we redefine the landscape of global commerce.About the RoleWe are looking for a Senior Data Scientist to spearhead the development and evaluation of intelligent autonomous AI agents focused on B2B analytics and operational workflows. You will be responsible for engineering sophisticated systems that enable agents to autonomously analyze data, generate actionable insights, execute operational tasks, and orchestrate complex business processes. Your role will involve working across analytical and operational workflows, designing multi-agent ecosystems, establishing evaluation frameworks, and ensuring the reliability of complex agentic systems in production.Key ResponsibilitiesAgentic System Design & Multi-Agent Architecture: Architect AI agent ecosystems capable of autonomously managing analytical and operational workflows, including data exploration, insight generation, process automation, and cross-functional coordination.Analytical & Operational Workflow Design: Create agent systems that proficiently navigate data discovery, hypothesis testing, insight delivery, and operational task execution, effectively managing transitions between specialized agents (SQL, visualization, statistical analysis, workflow automation).Prompt Engineering & Agent Optimization: Craft and refine prompts for autonomous agents, incorporating few-shot learning, chain-of-thought reasoning, tool usage, and structured output generation for multi-step analytical and operational workflows.Comprehensive Evaluation Frameworks: Develop evaluation systems that measure analytical accuracy, operational task success, agent reliability, and coordination effectiveness. Create automated testing suites, benchmark datasets, and continuous production monitoring protocols.Agent Performance Analysis: Conduct thorough analyses of agent performance to drive system improvements and enhance operational efficiency.

Ebury empowers ambitious businesses to achieve global growth, and we extend the same philosophy to our team members. We champion innovation, collaboration, and problem-solving, creating an inclusive environment where everyone feels valued, supported, and motivated to excel.If you are a collaborative individual eager to revolutionize the way businesses operate globally, reach out to us — we would love to explore how Ebury can expedite your career progression and enable you to shape the future.Senior Full-Stack Engineer - AI Agent PlatformLocation: London Victoria Office - Hybrid: 4 days in the office, 1 day working from homeAbout the RoleWe are developing an AI-driven financial crime investigation platform that is transforming the operational efficiency of Ebury's compliance teams. Our AI agents are designed to manage thousands of screening cases, alleviating the workload of analysts while ensuring compliance with regulatory standards.We seek a Senior Full-Stack Engineer to enhance our platform and elevate our engineering standards. You will design and implement complex features across the entire stack—from React frontends to Python backends and LLM integrations—while mentoring colleagues and influencing our technical strategy.This is an exceptional opportunity to work at the crossroads of AI/ML, fintech, and compliance, developing production-grade AI systems that tackle real financial crime investigations at scale.What You Will DoArchitect and construct end-to-end features across our React frontend and FastAPI backend...

As a Senior AI Systems Engineer at aifi, you will spearhead the cutting-edge research and development initiatives within our Scene Understanding Team, focusing on advanced computer vision technologies. Your responsibilities will encompass designing sophisticated systems to calibrate extensive networks of cameras and executing state-of-the-art methods in 3D reconstruction and semantic segmentation. This is an exciting opportunity to contribute to pioneering projects that redefine visual computing.

Join Alten as a Senior Systems Engineer and be part of a leading technology consultancy that specializes in engineering and IT services. In this critical role, you will drive innovative solutions and enhance system performance across various projects.

Role overview Recursion Pharmaceuticals is advancing autonomous science by developing AI agents that explore biology and chemistry to speed up drug discovery. The Staff Product Manager for Agentic Systems, based in London, works at the intersection of proprietary data generation and advanced AI models. The main goal: build systems that enable agents to reason, plan, and conduct experiments in automated labs. This role goes beyond managing a product roadmap. It involves setting direction in a fast-evolving field and collaborating closely with engineering leaders. Together, the team identifies which autonomous science capabilities will have the greatest impact on the drug discovery pipeline as AI agent best practices evolve. Success in this position depends on balancing scalable orchestration infrastructure with the need for rapid experimentation, while making informed decisions in a changing environment. What you will do Define architecture for autonomy: Work with engineering leaders to design and build systems that link in silico models (the 'brain') to automated physical labs (the 'body'), supporting closed-loop, autonomous discovery. Lead hypothesis-driven product development: Guide cycles of experimentation to test various agentic frameworks. Decide when to invest in shared, lasting services and when to create quick prototypes to discover effective solutions. Act as a translator: Connect the needs of wet labs and dry labs by turning drug discovery goals into technical requirements for agent reasoning. Focus on optimizing for information gain rather than just volume. Champion human-in-the-loop evolution: Collaborate with scientific stakeholders to define how humans and AI agents work together as the systems develop. Location London, England

Role Overview Zaizi is hiring a Senior Systems Engineer (SFIA4) to help deliver advanced technical solutions for the UK Defence and National Security sector. This position is based in London and focuses on building mission-critical systems that blend Cloud-native architectures, data-driven tools, and Artificial Intelligence within safety-critical settings. What You Will Do Guide technical execution for complex defence and national security programs. Integrate modern Cloud-native technologies, data-centric decision-making platforms, and AI into secure, high-stakes environments. Act as the connection between strategic goals and hands-on engineering, ensuring digital technologies meet the security and rigor required for national defense. Influence customer direction at the executive level and oversee complex system integrations throughout the full systems lifecycle.

About Gigs Gigs builds a platform that lets technology companies add global mobile connectivity to their products. The goal: make it as easy to offer mobile services as it is to set up payments. Gigs removes telecom complexity for customers ranging from fintech startups launching mobile plans to HR platforms managing work phones. The team includes about 100 people working across the US and Europe, backed by nearly $100 million from investors like Ribbit Capital, Google, and Y Combinator. Gigs brings together engineers, product specialists, and business leaders with backgrounds at Stripe, Airbnb, Shopify, and other top tech companies. The company is growing quickly and tackling both technical and regulatory challenges to make connectivity seamless. Core Values Speed: Work with urgency and treat each week as important for progress. Ownership: Take initiative when problems arise and act with autonomy. Customer Obsession: Focus on customer success as a measure of company success. Ambiguity: Use good judgment and instincts to make decisions, even with incomplete information. First Principles: Question established practices and seek to understand the reasons behind them. Role Overview: Senior IT Systems Engineer The Senior IT Systems Engineer will help ensure that everyone at Gigs has the access, tools, and support needed to work efficiently. This position focuses on building and automating corporate IT infrastructure. The role is hands-on and results-driven, joining as the third member of the Security & IT team. Locations London, Amsterdam, Berlin

Are you ready to embrace a new challenge as a System Engineer? Join us in taking charge of the design, maintenance, and optimization of cutting-edge IT systems and infrastructure. If you have a passion for ensuring reliability, security, and scalability across the environments that power Aidence's global operations, we want to hear from you! Your drive for continuous improvement, coupled with your ability to streamline processes and collaborate with cross-functional teams, will be vital in delivering efficient, compliant, and high-performing systems.

Who are we?At Cohere, our mission is to harness the power of artificial intelligence to enhance human capabilities. We are pioneers in developing and deploying advanced language models for developers and enterprises, enabling them to create transformative experiences such as content generation, semantic search, retrieval-augmented generation (RAG), and intelligent agents. We are committed to driving the widespread adoption of AI technologies.We take pride in our craftsmanship. Each team member plays a vital role in enhancing our models’ capabilities and delivering exceptional value to our clients. We thrive in a fast-paced environment where our focus is on what is best for our customers.Cohere is made up of a diverse group of researchers, engineers, designers, and other professionals, all dedicated to their craft. We believe that a variety of perspectives is essential for creating remarkable products.Join us on our journey and help shape the future of AI!We are seeking a seasoned engineer to contribute to the design, maintenance, and evolution of the training framework that underpins our state-of-the-art language models. This role is positioned at the crossroads of large-scale training, distributed systems, and high-performance computing (HPC) infrastructure. You will be responsible for architecting and managing core components that facilitate rapid, reliable, and scalable model training, as well as developing tools that connect innovative research ideas to thousands of GPUs.If you have a passion for working across the entire machine learning systems stack, this role offers you the opportunity and autonomy to make a substantial impact.What You’ll Work OnOwn and enhance the training framework for large-scale LLM training.Design distributed training abstractions including data/tensor/pipeline parallelism, FSDP/ZeRO strategies, memory management, and checkpointing.Optimize training throughput and stability on multi-node clusters (e.g., GB200/300, AMD, H200/100).Develop and maintain tools for monitoring, logging, debugging, and improving developer experience.Collaborate with infrastructure teams to ensure our clusters, container environments, and hardware configurations are optimized for high-performance training.Analyze and troubleshoot performance bottlenecks throughout the machine learning systems stack.Create robust systems that guarantee reproducible, debuggable, and large-scale training runs.You Might Be a Great Fit If You HaveExtensive engineering experience in large-scale distributed training or HPC systems.Deep familiarity with Java, Python, and/or C++ programming languages.Experience with cloud platforms and container orchestration tools.Strong problem-solving skills and a collaborative mindset.

About UsAt Supermodular AI, we empower enterprises to successfully navigate the transformative landscape of artificial intelligence. Our philosophy centers on actionable strategies that foster real change.While many organizations recognize the vast potential of AI, they often struggle to implement it effectively within their operational frameworks. The obstacles usually lie not with the technology itself, but with its integration into established systems, workflows, and engineering practices that have developed over time. We firmly believe that genuine AI transformation cannot be confined to theoretical strategy documents; the true essence of strategy is revealed through the practical building, deployment, and management of AI systems within organizations.We collaborate closely with enterprise IT and software teams to design and implement AI systems tailored for real-world environments. Our goal is to enable engineering teams to adopt innovative AI-native development practices, frameworks, and technical resources that fundamentally alter how software is built and operated. This extends to creating custom AI solutions that facilitate challenging modernization or harmonization efforts, particularly in situations where traditional methods have proven ineffective.Our team boasts a strong history of delivering high-impact AI systems and scaling engineering capabilities within complex enterprises. If you have a passion for tackling challenging enterprise-level issues and transforming ambitious concepts into operational systems, Supermodular AI is the place for you.Your RoleAs a Forward Deployed Security Engineer (AI Systems) at Supermodular AI, you will engage directly with enterprise IT and software teams to ensure that our AI systems operate in a secure, reliable, and safe manner within production environments.You will be immersed in real enterprise settings, collaborating with engineers and technical leaders to gain insights into current operations, identify vulnerabilities, and understand how AI impacts the risk landscape.Your responsibilities will involve navigating complex system architectures, pinpointing weaknesses, designing secure frameworks, and reinforcing systems that were not originally engineered with AI considerations in mind.Your contributions will span the entire engagement lifecycle, from influencing early technical strategies to embedding security and reliability into system designs, and implementing the necessary safeguards for real-world operation.Many environments will be intricate and imperfect, with systems that are incomplete, poorly integrated, or lacking security-focused design. Your mission will be to impose structure and resilience on these environments by developing and fortifying systems capable of safe operation at scale.

Role overview Paconsulting is hiring a Senior AI Engineer in London. This position shapes how artificial intelligence supports and advances the company’s services. The Senior AI Engineer partners with colleagues from different disciplines to build and deploy advanced AI models and algorithms. What you will do Design, develop, and implement AI models and algorithms Collaborate with cross-functional teams to integrate AI solutions into service offerings

Role overview ASOS Plc seeks a Senior AI Engineer based in London to create AI-driven solutions that enhance customer interactions with the ASOS platform. This position collaborates with teams across the company to address practical challenges through machine learning and artificial intelligence. What you will do Design, build, and deploy AI models that align with ASOS's business objectives Partner with engineering, product, and data teams to deliver integrated solutions Use advanced machine learning and AI techniques to improve both customer experience and operational processes

Salary: £150,000 – £170,000Equity: 0.7% - 1.2%This position is in-person with flexible remote workdays.European visa sponsorship is available.About AuroraAurora is redefining the lifestyle operating system for top-performing individuals and organizations worldwide. Our clientele includes elite founders, executives, professional athletes, and families managing intricate and ongoing needs across travel, health, dining, and premium goods.Our platform is conversational, proactive, and accessible 24/7 globally, making it a vital tool for members who engage with it multiple times daily for crucial, time-sensitive decisions. The quality of our product, the soundness of our judgment, and the efficiency of our systems are instantly visible to our customers.The market for agentified premium lifestyle commerce exceeds $10 billion, with traditional concierge services often hampered by disjointed CRM systems and manual processes that lack scalability. Aurora integrates automation, AI agents, and expert human curators into a unified system, engineered for speed, precision, and impact.We have achieved remarkable early success:51% daily active users, 95% weekly active usersTransaction volume and member spending have surpassed industry benchmarks by 5x within the first three monthsBacked by Alex Macdonald, a leading figure in this domain, we have:Secured over $5 million in funding from seasoned operators and top-tier investorsDeveloped a product that boasts industry-leading engagement from paying membersAccumulated a substantial, proprietary dataset of user context (preferences, calendars, health signals) that fuels our proactive AI capabilitiesAs we scale our product and expand our member base, we are looking to grow our founding engineering team.Aurora operates from our offices in London, New York, and Los Angeles. Our engineering team primarily collaborates from our London office in Belgravia, with options for flexible remote work.

Role overview SmartRecruiters seeks a Senior AI Engineer based in the United Kingdom. The position centers on building and refining artificial intelligence models to enhance product capabilities and support overall business objectives. What you will do Design, implement, and optimize AI models for practical use cases Collaborate with teams across the company to integrate AI solutions into existing products Apply technical expertise to projects that influence the direction of our technology Requirements Substantial experience in artificial intelligence and machine learning Proven ability to design and deploy AI models Comfort working with cross-functional teams

Statkraft is looking for a Senior Power Systems Engineer to join the London office. This position centers on creating solutions that address shifts in the energy sector. Role focus The Senior Power Systems Engineer will work on challenges related to the evolving energy landscape. The work involves applying deep knowledge of power systems to develop practical responses to industry changes. What you bring Expertise in power systems engineering Strong interest in shaping the future of energy systems

Role overview The Senior Applied AI Engineer at Taktile will play a central part in building and refining AI-driven solutions for the company's product suite. This position requires direct involvement with AI models and regular collaboration with colleagues across different teams. The work will help guide both the technical and product direction at Taktile. What you will do Design, develop, and implement applied AI models to enhance Taktile’s products. Collaborate with engineering, product, and other teams to take AI features from initial idea to production deployment. Participate in shaping product and AI strategies through active contribution to team discussions and decision-making. Location This is an in-office role based at Taktile’s London location.